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Enhancing Programming Pair Workshops: The Case of Teacher Pre-Prompting
Johan Petersson
https://arxiv.org/abs/2506.20299 https://arxi…

Enhancing Programming Pair Workshops: The Case of Teacher Pre-Prompting
This paper explores the pedagogical potential of "teacher pre-prompting" as a means of guiding student collaboration in programming education. In particular, we investigate how brief teacher-initiated questions posed before students engage in pair programming workshops can help shape problem interpretation and division of labor. Based on qualitative analysis of video data from a university course in systems development, we identify five distinct pre-prompting patterns. Our findings suggest that…

Unraveling Human Capital Complexity: Economic Complexity Analysis of Occupations and Skills
Soohyoung Lee, Dawoon Jeong, Jeong-Dong Lee
https://arxiv.org/abs/2506.12960

Unraveling Human Capital Complexity: Economic Complexity Analysis of Occupations and Skills
This study investigates the structural embeddedness of skills in the division of labor. Drawing on O*NET data covering 120 skills across 872 U.S. occupations, we identify three skill communities: general, cognitive, and physical skills. Compressing the connectivity in the occupation-skill network through the Method of Reflection, we derive the Occupational Complexity Index (OCI) and the Skill Complexity Index (SCI). They unpack the structure of the occupation skill network that general skills a…

Dissenter Headlines For June 9, 2025 https://thedissenter.org/dissenter-headlines-for-june-9-2025/

When Is Diversity Rewarded in Cooperative Multi-Agent Learning?
Michael Amir, Matteo Bettini, Amanda Prorok
https://arxiv.org/abs/2506.09434 https://

When Is Diversity Rewarded in Cooperative Multi-Agent Learning?
The success of teams in robotics, nature, and society often depends on the division of labor among diverse specialists; however, a principled explanation for when such diversity surpasses a homogeneous team is still missing. Focusing on multi-agent task allocation problems, our goal is to study this question from the perspective of reward design: what kinds of objectives are best suited for heterogeneous teams? We first consider an instantaneous, non-spatial setting where the global reward is b…

Delegations as Adaptive Representation Patterns: Rethinking Influence in Liquid Democracy
Davide Grossi, Andreas Nitsche
https://arxiv.org/abs/2506.09789 h…

Delegations as Adaptive Representation Patterns: Rethinking Influence in Liquid Democracy
Liquid democracy is a mechanism for the division of labor in decision-making through the transitive delegation of influence. In essence, all individuals possess the autonomy to determine the issues with which they will engage directly, while for other matters, they may appoint a representative of their choosing. So far, the literature has studied the delegation structures emerging in liquid democracy as static. As a result, transitivity defined as the capacity to transfer acquired authority to …